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Python Developer (GenAI/LLM) | 6–10 Years | Trivandrum Location - Job ID: 8874

0 years

0 Lacs

thiruvananthapuram kerala india

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

python developer design rest graphql ai model engineering latency tuning compliance security data openai preprocessing automation aws azure ml optimization

Work Mode

On-site

Job Type

Full Time

Job Description

Immediate joiner required. Only genuinely interested candidates should apply.

Candidates ready to join immediately can share their details via email for quick processing.

📌 CCTC | ECTC | Notice Period | Location Preference

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Act fast for immediate attention! ⏳📩


Role & Responsibilities

  • Design, develop, and integrate

    LLM-powered applications

    into enterprise systems.
  • Build

    REST/GraphQL APIs

    for seamless AI model integration.
  • Implement

    prompt engineering techniques

    and optimize embeddings for performance.
  • Evaluate

    LLM performance (accuracy, latency, cost)

    and recommend improvements.
  • Work on

    fine-tuning/customization

    of models for enterprise use cases.
  • Collaborate with cross-functional teams to deliver

    AI-driven productivity solutions

    .
  • Ensure compliance with

    AI safety, security, and data privacy standards

    .

Must Have Skills

  • Strong

    Python development

    expertise.
  • Hands-on experience with

    Large Language Models (LLMs)

    (e.g., OpenAI GPT).
  • Experience in

    REST/GraphQL API

    integration.
  • Proficiency in

    data preprocessing, embeddings, and prompt engineering

    .
  • Knowledge of

    fine-tuning/customization

    of LLMs for enterprise applications.
  • Familiarity with

    vector databases

    .
  • Strong understanding of

    AI safety, security, and compliance considerations

    .

Good to Have Skills

  • Experience with

    Generative AI automation for enterprise productivity

    .
  • Familiarity with

    cloud platforms (AWS, Azure, GCP)

    for AI deployment.
  • Exposure to

    AI/ML pipelines and MLOps

    .
  • Knowledge of

    cost optimization techniques

    in AI workloads.

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